Jonas Wahl - RankMe

22 papers A* 2A 2Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Structural Causal Bottleneck Models. CoRR Simon Bing, Jonas Wahl, Jakob Runge
2025	J	`jnl`	Internal Incoherency Scores for Constraint-based Causal Discovery Algorithms. CoRR Sofia Faltenbacher, Jonas Wahl, Rebecca Herman, Jakob Runge
2025	A	`conf`	Separation-Based Distance Measures for Causal Graphs. AISTATS Jonas Wahl, Jakob Runge
2025	J	`jnl`	Sortability of Time Series Data. Trans. Mach. Learn. Res. Christopher Lohse, Jonas Wahl
2025	—	`conf`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CLeaR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2025	—	`conf`	Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery. CLeaR Rebecca Herman, Jonas Wahl, Urmi Ninad, Jakob Runge
2025	J	`jnl`	Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery. CoRR Rebecca Herman, Jonas Wahl, Urmi Ninad, Jakob Runge
2025	J	`jnl`	When Counterfactual Reasoning Fails: Chaos and Real-World Complexity. CoRR Yahya Aalaila, Gerrit Großmann, Sumantrak Mukherjee, Jonas Wahl, Sebastian J. Vollmer
2024	J	`jnl`	Causal Inference for Spatial Data Analytics (Dagstuhl Seminar 24202). Dagstuhl Reports Martin Tomko, Yanan Xin, Jonas Wahl
2024	—	`conf`	Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. CLeaR Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge
2024	J	`jnl`	Invariance & Causal Representation Learning: Prospects and Limitations. Trans. Mach. Learn. Res. Simon Bing, Tom Hochsprung, Jonas Wahl, Urmi Ninad, Jakob Runge
2024	J	`jnl`	Sortability of Time Series Data. CoRR Christopher Lohse, Jonas Wahl
2024	J	`jnl`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CoRR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad P. Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2023	J	`jnl`	Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. CoRR Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge
2023	A	`conf`	Increasing effect sizes of pairwise conditional independence tests between random vectors. UAI Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge
2023	J	`jnl`	Invariance & Causal Representation Learning: Prospects and Limitations. CoRR Simon Bing, Jonas Wahl, Urmi Ninad, Jakob Runge
2023	J	`jnl`	Projecting infinite time series graphs to finite marginal graphs using number theory. CoRR Andreas Gerhardus, Jonas Wahl, Sofia Faltenbacher, Urmi Ninad, Jakob Runge
2023	A*	`conf`	Vector Causal Inference between Two Groups of Variables. AAAI Jonas Wahl, Urmi Ninad, Jakob Runge
2022	A*	`conf`	Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. NeurIPS Wiebke Günther, Urmi Ninad, Jonas Wahl, Jakob Runge
2022	J	`jnl`	Where are all the guns? Modeling firearm ownership in the United States. Patterns Jonas Wahl
2021	—	`conf`	Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. RE Workshops Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl
2021	J	`jnl`	Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. CoRR Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl